SoundFingerprinting 4.1.0-alpha

.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
This is a prerelease version of SoundFingerprinting.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package SoundFingerprinting --version 4.1.0-alpha                

                    
                

            
NuGet\Install-Package SoundFingerprinting -Version 4.1.0-alpha
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="SoundFingerprinting" Version="4.1.0-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add SoundFingerprinting --version 4.1.0-alpha                

                    
                

            
#r "nuget: SoundFingerprinting, 4.1.0-alpha"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install SoundFingerprinting as a Cake Addin
#addin nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease

// Install SoundFingerprinting as a Cake Tool
#tool nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

Product Compatible and additional computed target framework versions.
.NET Framework net35 is compatible.  net40 is compatible.  net403 was computed.  net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (7)

Showing the top 5 NuGet packages that depend on SoundFingerprinting:

Package Downloads
SoundFingerprinting.Emy

SoundFingerprinting.Emy is a native C# client for Emy fingerprints storage. It provides ways to insert, query, delete entries from Emy. To learn more about SoundFingerprinting visit github page https://github.com/AddictedCS/soundfingerprinting. To learn more about Emy visit https://www.emysound.com
SoundFingerprinting.Audio.Bass

Un4seen.Bass extension library for SoundFingerprinting framework. SoundFingerprinting default library is designed to read only raw wave files. This extension provides the ability to read all files supported by Bass (including .mp3, .flac, .ogg). Un4seen.Bass is free for non-comercial use. If you intend to use this extension for commercial purposes, please contact http://www.un4seen.com for licensing
SoundFingerprinting.Audio.NAudio

NAudio extension library for SoundFingerprinting framework. This extension provides the ability to read all files supported by NAudio media foundation framework. Since NAudio depends on Windows native calls, this extension can execute only in Windows environment.
SoundFingerprinting.Solr

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.
SoundFingerprinting.SQL

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on SoundFingerprinting:

Repository Stars
AddictedCS/soundfingerprinting
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
cjmanca/plex-credits-detect
Augments plex's built in intro detection, additionally detecting credits.
Version Downloads Last updated
11.1.0 248 10/29/2024
11.0.0 313 10/3/2024
10.7.0 687 8/8/2024
10.6.0 254 7/9/2024
10.4.0 323 6/5/2024
10.3.1 267 5/17/2024
10.3.0 135 5/16/2024
10.0.0 827 4/5/2024
9.5.0 212 3/27/2024
9.4.4 856 3/2/2024
9.4.2 398 2/27/2024
9.4.0 306 2/26/2024
9.4.0-beta1 111 2/23/2024
9.3.0 346 2/19/2024
9.2.0 373 2/6/2024
9.1.0 1,033 12/28/2023
9.0.0 1,024 11/30/2023
9.0.0-beta 578 11/22/2023
9.0.0-alpha 115 11/19/2023
8.33.0 444 12/28/2023
8.32.0 168 11/21/2023
8.30.0 1,117 10/25/2023
8.28.0 1,266 9/21/2023
8.27.2 640 9/18/2023
8.27.1 579 9/18/2023
8.27.0 480 9/14/2023
8.26.0 705 9/1/2023
8.25.0 789 8/28/2023
8.24.0 2,012 7/17/2023
8.23.0 3,783 5/15/2023
8.22.0 3,933 4/3/2023
8.21.0 3,609 1/22/2023
8.20.0 1,186 1/12/2023
8.19.0 2,907 12/12/2022
8.18.0 1,134 12/8/2022
8.17.0 1,164 11/30/2022
8.16.5 1,179 11/26/2022
8.16.3 1,099 11/22/2022
8.16.2 1,114 11/16/2022
8.16.1 1,195 11/14/2022
8.16.0 1,177 11/11/2022
8.15.0 2,661 9/20/2022
8.14.0 1,811 8/24/2022
8.13.0 6,069 8/16/2022
8.12.1-patch1 411 12/28/2023
8.12.0 4,344 6/6/2022
8.9.1 4,353 4/27/2022
8.9.0 1,322 4/27/2022
8.8.0 2,148 4/17/2022
8.7.0 2,434 4/6/2022
8.6.0 2,580 3/23/2022
8.5.1 1,874 2/23/2022
8.5.0 1,386 2/18/2022
8.4.0 1,433 2/8/2022
8.3.0 1,434 1/21/2022
8.2.0 1,624 1/6/2022
8.1.0 1,116 12/28/2021
8.0.0 2,697 12/22/2021
8.0.0-beta4 742 12/21/2021
8.0.0-beta3 816 12/8/2021
8.0.0-beta2 208 12/7/2021
8.0.0-beta 219 12/7/2021
8.0.0-alpha 218 12/6/2021
7.17.0 3,158 11/30/2021
7.16.0 2,244 11/26/2021
7.15.0 2,918 11/9/2021
7.14.0 1,197 11/9/2021
7.13.0 1,851 10/19/2021
7.12.0 1,266 10/13/2021
7.10.0 3,505 6/29/2021
7.9.9 2,853 5/10/2021
7.9.6 1,367 4/30/2021
7.9.4 1,298 4/27/2021
7.9.3 1,338 4/18/2021
7.9.0 24,331 4/5/2021
7.8.1 2,069 3/21/2021
7.8.0 1,213 3/19/2021
7.7.0 510 3/15/2021
7.5.5 2,051 1/25/2021
7.5.2 1,906 1/13/2021
7.4.24 2,987 11/30/2020
7.4.19 2,574 11/6/2020
7.4.13 5,007 8/25/2020
7.4.12 2,328 8/11/2020
7.4.11 1,394 8/4/2020
7.4.10 1,381 7/30/2020
7.4.7 3,055 7/22/2020
7.4.6 1,387 7/20/2020
7.4.1 3,691 6/25/2020
7.4.0 1,524 6/19/2020
7.3.3 3,208 5/12/2020
7.3.2 2,026 5/8/2020
7.3.1 1,400 5/4/2020
7.3.0 1,428 4/25/2020
7.2.0 2,597 3/31/2020
7.2.0-beta3 1,496 3/17/2020
7.2.0-beta2 1,052 3/12/2020
7.2.0-beta 1,210 2/27/2020
7.1.0 2,623 2/3/2020
7.1.0-beta4 1,108 12/11/2019
7.1.0-beta3 1,079 11/11/2019
7.1.0-beta2 502 11/5/2019
7.1.0-beta 1,120 10/23/2019
7.1.0-alpha 419 10/8/2019
7.0.0 4,239 7/1/2019
6.3.0 2,217 5/31/2019
6.2.2 4,399 5/1/2019
6.2.1 2,210 4/5/2019
6.2.1-beta4 526 3/27/2019
6.2.1-beta3 516 3/18/2019
6.2.1-beta2 526 3/17/2019
6.2.1-beta1 513 3/12/2019
6.2.0 2,601 3/4/2019
6.1.1 1,939 2/15/2019
6.1.0 870 2/1/2019
6.1.0-beta4 599 1/14/2019
6.1.0-beta3 623 1/10/2019
6.1.0-beta2 685 1/8/2019
6.1.0-beta 631 1/7/2019
6.0.0 2,715 11/6/2018
6.0.0-beta 663 10/30/2018
5.2.3 4,364 9/20/2018
5.2.2 10,372 7/4/2018
5.2.1 2,505 5/10/2018
5.2.0 1,239 4/29/2018
5.1.0 1,284 3/20/2018
5.0.0 1,207 3/13/2018
5.0.0-alpha 946 3/12/2018
4.2.1 1,915 3/5/2018
4.2.0 1,724 3/1/2018
4.1.0 2,145 12/5/2017
4.1.0-alpha 1,046 10/27/2017
4.0.0 1,601 10/23/2017
3.2.0 1,861 10/14/2017
3.1.2 1,851 9/16/2017
3.1.0 2,472 12/15/2016
3.0.0 1,925 12/6/2016
3.0.0-beta 1,205 11/29/2016
3.0.0-alpha 1,264 11/23/2016
2.3.3 1,772 11/10/2016
2.3.1 1,759 10/29/2016
2.3.0 1,377 10/28/2016
2.2.0 2,033 2/1/2016
2.1.0 1,237 1/16/2016
2.0.0 1,616 1/15/2016
2.0.0-alpha 1,213 5/16/2015
1.0.1.20018 2,106 6/1/2014
1.0.0.33376 2,150 4/26/2014
0.5.3 1,700 2/3/2014
0.5.2 1,293 1/26/2014
0.5.0.1 2,510 1/12/2014
0.4.2-alpha 1,233 6/16/2013
0.4.1-alpha 1,161 6/15/2013
0.4.0-alpha 1,194 6/14/2013

Version 4.1.0-alpha comes with new experimental permutations which should solve the problem of high hash collisions across fingerprints.

Version 4.0.0 comes with a list of improvements. New Haar wavelet transformation normalization factor is now set-up as the default one. It yields better recall and accuracy. Re-index fingerprints if you are migrating from v3.x. Most important update in v4 is an improved fingerprinting speed (2 mins of audio are fingerprinted in ~300 ms), with a lot fever bytes used throughout the process.   

Similarly to v3.2.0  the InMemoryModelService can now be serialized to file system, and reloaded on application startup (useful for scenarios when you don't want to add external data storages). QueryResult now contains Stats information about number of candidates analyzed during query, as well as segregated query duration information: QueryDuration and FingerprintingDuration. Fingerprinting and Query configurations are simplified with various profiles available for choise: LowLatency, Default and HighPrecision configurations. Choose one that corresponds to your scenario. Check Solr datasource for a fast persistent storage for fingerprints https://github.com/AddictedCS/soundfingerprinting.solr